| 2026 | WACV | DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation. | Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera |
| 2025 | ICLR | Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. | Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2025 | IJCNN | Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks. | Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay |
| 2024 | ICLR | Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. | Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay |
| 2024 | IJCNN | Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. | Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay |
| 2023 | ICLR | Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. | Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2023 | IJCNN | Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. | Beomseok Kang, Saibal Mukhopadhyay |
| 2022 | IJCNN | Unsupervised Hebbian Learning on Point Sets in StarCraft II. | Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay |